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Three different measures of sample skewness and kurtosis and their effects on the Jarque–Bera test for normality

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  • Panagiotis Mantalos

Abstract

Monte Carlo methods are used to study the size and the power of three versions of the Jarque and Bera Lagrangian multiplier test for normality, JB(g1, g2), JB(b1, b2) and, finally, JB(k1, k2). The difference between these tests comes from the different definitions (estimates) of sample skewness and kurtosis. The Jarque and Bera test has rather poor small sample properties: the slow convergence of the test statistic to its limiting distribution makes the test oversized for small nominal level and undersized for larger than 3% levels even in a reasonably large sample. However, the JB(k1, k2) for a 5% nominal level shows good properties for all samples. The power of the tests shows the same erratic form.

Suggested Citation

  • Panagiotis Mantalos, 2011. "Three different measures of sample skewness and kurtosis and their effects on the Jarque–Bera test for normality," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 2(1), pages 47-62.
  • Handle: RePEc:ids:ijcome:v:2:y:2011:i:1:p:47-62
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. More On the Limitations of the Jarque-Bera Test
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2014-04-22 03:43:00

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    Cited by:

    1. Shaw, Charles, 2018. "Regime-Switching And Levy Jump Dynamics In Option-Adjusted Spreads," MPRA Paper 94154, University Library of Munich, Germany, revised 27 May 2019.

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